Optical grid is expected to be an efficient infrastructure to support advanced data-intensive grid applications. In
optical grid, the faults of both computational and network resources are inevitable due to the large scale and high
complexity of the system. Even though many researches have been published on fault-tolerance policy for either grid
system or optical network, but few works have been done to consider fault-tolerance when faults may happen in grid
system and optical networks. In this paper, we address to the fault-tolerance problem in optical grid system and
propose a rescheduling policy to handle both computational resources and network resources faults. Simulation
results prove that our policy achieves better performance.
Facing the evolvement of the Optical Grid technology, dynamic task scheduling can largely improve the efficiency of
the Grid environment under the real circumstances. We propose a Serve On Time (SOT) algorithm - based on the idea
of combining all the dynamic multi tasks so that all the tasks will obtain the rights to be served as soon as possible. We
then introduce the basic First Come First Serve (FCFS) algorithm. A simulation will show the advantage of SOT.
Optical Grid that provides a way to integrate the geographical distributed resources for large-scale grid applications. This
paper mainly focuses on the task scheduling issue in Optical Grid and proposes two task scheduling algorithms to minimize
the total time or scheduling length required for a given task. A simulated optical grid has been addressed to demonstrate
the effectiveness of the scheduling approach. The performance tests and analysis of the two algorithms are investigated
to show the effect of the routing policy on the scheduling length. A more flexible policy is able to further improve
scheduling length.
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